Google’s AI visibility optimization strategy is leaving the media industry in a tough spot since control over AI-generated search results is being handed to publishers without the traffic data to use it, deepening their dependence on the platform they want to escape.
Websites can now exclude their journalism from AI search results, but Google is simultaneously expanding the ways publishers can appear there, and the click figures needed to judge the trade-off remain unavailable.
Is Google’s New Opt-Out Really Giving Publishers More Control?
On August 31, Google launched controls allowing publishers to opt out of AI search in different parts of the world, after a June 3 ruling by the UK’s Competition and Markets Authority (CMA) compelled it to give publishers more say over how their content appears in AI-based answers. The CMA found that Google handled more than 90% of UK search queries.
The controls block their content from AI Overviews, AI Mode, and AI features in Discover without affecting regular search results. Yet the choice is bundled, as publishers appear in all of Google’s AI products, or none.
The restriction creates a problem for generative search visibility. Some Google features generate valuable referrals while others answer the question and remove any reason to visit the source.
Google has been making links more prominent in AI results and adding timely article carousels.
Its Preferred Sources feature, which lets users nominate trusted websites, has grown more than sevenfold since the start of this year, according to Hema Budaraju, Google’s vice president of product management. The Chrome-parent published no baseline, or current user numbers, so the multiple cannot be converted into a share of readers.
These developments make AI visibility optimization increasingly attractive, but they also complicate the decision to leave. The more opportunities Google creates for publishers to reach readers through AI search, the greater the potential cost of refusing to participate.
Chris Dicker, CEO of Candr Media, which owns Trusted Reviews, told Digiday that publishers lack the information needed to assess that trade-off.
“That is the metric that will determine whether they [publishers] turn it off or not,” said Dicker, referring to click data.
Google provides AI overview data measuring how often content appears in generated answers, but impressions cannot establish whether anyone then visits the site. As per Seach Engine Journal, the report excludes clicks and click-through rates, and PPC Land reports that publishers cannot see the queries behind the appearances.
That limits the usefulness of Google Search Console AI overview data, for businesses relying on advertising revenue, subscriptions, and affiliate commissions. Without knowing how much traffic AI results generate, publishers cannot calculate AI overviews search traffic loss, or price staying against leaving.
The concern extends beyond immediate revenue. As Google expands its AI interfaces, brand visibility metrics in generative AI search could become more important to publishers than traditional search rankings, even when exposure produces fewer direct visits.
That possibility creates another form of dependence, where publishers pursuing AI visibility optimization increasingly rely on Google’s own reporting to understand whether their journalism is reaching an audience.
For organizations already dependent on Google Discover and Search, withdrawing from AI results could therefore weaken their visibility without necessarily restoring the traffic they have lost.
Google Controls AI Visibility Optimization, But Who Controls Data?
These generative AI visibility metrics limitations prevent publishers from telling content that draws readers from content Google uses to answer questions outright. Even with AI overview data tracking tools, they can’t see which appearances lead anywhere.
The reporting gap also affects Google Search Console AI overview data, since AI appearances remain included in broader search performance totals without the dedicated click information needed to separate their impact. PPC Land referred to studies which link AI Overviews with significant drops in organic CTR, including a study done by Ahrefs estimating the drop at 58% for highly ranking pages.
Nevertheless, such information cannot help in determining the loss incurred by specific publishers.
The uncertainty complicates metrics for measuring brand visibility in generative AI responses, where greater exposure may improve recognition without necessarily supporting the journalism that makes those answers possible.
Meanwhile, AI generated brand visibility metrics fluctuations could reflect adjustments to Google’s interfaces rather than genuine changes in reader demand, further weakening publishers’ ability to judge performance independently.
The issue is especially important because AI overview data may eventually influence editorial and distribution strategies, encouraging newsrooms to prioritize appearing in generated answers even when the commercial returns remain unclear.
David Buttle, founder of publisher AI standards coalition SPUR, suggested that Google could maintain publishers’ participation by offering enough referral traffic to make AI search worthwhile.
“The way they can achieve that within the context of the conduct requirement is to ensure they can deliver enough value in the form of traffic from those surfaces back to publishers, so that they can say yes voluntarily,” Buttle told Digiday.
His assessment points to a wider problem: Google can strengthen its relationship with publishers by offering traffic, while continuing to control the interfaces through which that traffic arrives.
For publishers deciding whether to activate Google AI search participation, the question is not whether AI-generated summaries should use their content, but whether withdrawing would weaken their ability to compete for audiences. The Professional Publishers Association (PPA) has asked the CMA to push Google toward separate controls for individual AI features, arguing that publishers need more flexibility than the existing bundled system provides.
UK publishers are due to receive click data by December 3, although Google has not confirmed whether those figures will become available globally. More detailed page-level controls are expected by March 3, 2027.
Until then, generative search visibility is hard to evaluate, with publishers facing decisions that could affect their revenue, audience relationships, and long-term independence.
And uncertainty around AI overviews search traffic loss also raises questions about whether Google’s new controls can meaningfully reduce platform dependence when publishers still lack the information needed to use them confidently.
Ultimately, AI visibility optimization could become another mechanism tying publishers to Google’s ecosystem, as the company offers greater control over content participation while retaining consid
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